TurboFuzz: FPGA Accelerated Hardware Fuzzing for Processor Agile Verification
Yang Zhong, Haoran Wu, Xueqi Li, Sa Wang, David Boland, Yungang Bao, Kan Shi
摘要
Verification is a critical process for ensuring the correctness of modern processors. The increasing complexity of processor designs and the emergence of new instruction set architectures (ISAs) like RISC-V have created demands for more agile and efficient verification methodologies, particularly regarding verification efficiency and faster coverage convergence. While simulation-based approaches now attempt to incorporate advanced software testing techniques such as fuzzing to improve coverage, they face significant limitations when applied to processor verification, notably poor performance and inadequate test case quality. Hardware-accelerated solutions using FPGA or ASIC platforms have tried to address these issues, yet they struggle with challenges including host-FPGA communication overhead, inefficient test pattern generation, and suboptimal implementation of the entire multi-step verification process.
In this paper, we present TurboFuzz, an end-to-end hardwareaccelerated verification framework that implements the entire Test Generation-Simulation-Coverage Feedback loop on a single FPGA for modern processor verification. TurboFuzz enhances test quality through optimized test case (seed) control flow, efficient inter-seed scheduling, and hybrid fuzzer integration, thereby improving coverage and execution efficiency. Additionally, it employs a feedback-driven generation mechanism to accelerate coverage convergence. Experimental results show that TurboFuzz achieves up to 2.23× more coverage collection than software-based fuzzers within the same time budget, and up to 571× performance speedup when detecting real-world issues, while maintaining full visibility and debugging capabilities with moderate area overhead.
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它引用的顶会 Paper11
- Coverage-based Greybox Fuzzing as Markov ChainMarcel Böhme, Van-Thuan Pham, Abhik RoychoudhuryCCS 2016 · 被引用 1,026 次
- Directed Greybox FuzzingMarcel Böhme, Van-Thuan Pham, Manh-Dung Nguyen, Abhik RoychoudhuryCCS 2017 · 被引用 836 次
- Full-Speed Fuzzing: Reducing Fuzzing Overhead through Coverage-Guided TracingStefan Nagy, Matthew HicksS&P 2019 · 被引用 156 次
- DifuzzRTL: Differential Fuzz Testing to Find CPU BugsJaewon Hur, Suhwan Song, Dongup Kwon, Eunjin Baek 等S&P 2021 · 被引用 126 次
- Towards Developing High Performance RISC-V Processors Using Agile MethodologyYinan Xu, Zihao Yu, Dan Tang, Guokai Chen 等MICRO 2022 · 被引用 108 次
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